Kai Wang

2.4k total citations · 2 hit papers
124 papers, 1.6k citations indexed

About

Kai Wang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Kai Wang has authored 124 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Control and Systems Engineering, 38 papers in Artificial Intelligence and 35 papers in Mechanical Engineering. Recurrent topics in Kai Wang's work include Fault Detection and Control Systems (56 papers), Mineral Processing and Grinding (26 papers) and Neural Networks and Applications (16 papers). Kai Wang is often cited by papers focused on Fault Detection and Control Systems (56 papers), Mineral Processing and Grinding (26 papers) and Neural Networks and Applications (16 papers). Kai Wang collaborates with scholars based in China, Taiwan and United States. Kai Wang's co-authors include Yalin Wang, Xiaofeng Yuan, Lingjian Ye, Chunhua Yang, Chenliang Liu, Junghui Chen, Zhihuan Song, Yunhui Liu, Luyang Li and Weihua Gui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and Expert Systems with Applications.

In The Last Decade

Kai Wang

107 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network

2024 60 citations Xiaofeng Yuan, Lingjian Ye et al. IEEE Transactions on Cybernetics profile →
Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling

2024 48 citations Xiaofeng Yuan, Lingjian Ye et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kai Wang China	25	944	464	439	166	146	124	1.6k
Yupu Yang China	22	754 0.8×	656 1.4×	307 0.7×	188 1.1×	74 0.5×	97	1.9k
Qiang Liu China	22	851 0.9×	328 0.7×	620 1.4×	157 0.9×	177 1.2×	134	1.7k
Long Zhang China	27	1.2k 1.3×	306 0.7×	903 2.1×	209 1.3×	96 0.7×	161	2.8k
Yuan Xu China	24	852 0.9×	531 1.1×	427 1.0×	139 0.8×	105 0.7×	122	1.7k
Dingli Yu United Kingdom	22	1.1k 1.1×	372 0.8×	305 0.7×	123 0.7×	63 0.4×	141	1.7k
Pengfei Liang China	23	1.3k 1.4×	391 0.8×	722 1.6×	107 0.6×	115 0.8×	64	2.1k
Zhaohui Tang China	27	494 0.5×	470 1.0×	875 2.0×	287 1.7×	167 1.1×	175	2.2k
Rui Araújo Portugal	23	866 0.9×	675 1.5×	198 0.5×	251 1.5×	58 0.4×	106	1.8k
Bei Sun China	20	548 0.6×	181 0.4×	380 0.9×	57 0.3×	116 0.8×	105	1.2k

Countries citing papers authored by Kai Wang

Since Specialization

Citations

This map shows the geographic impact of Kai Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Wang more than expected).

Fields of papers citing papers by Kai Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kai Wang. The network helps show where Kai Wang may publish in the future.

Co-authorship network of co-authors of Kai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Wang. A scholar is included among the top collaborators of Kai Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Wang. Kai Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Kai, et al.. (2025). Multi-step difference-driven domain adversarial network for few-sample fault detection in dynamic industrial systems. Engineering Applications of Artificial Intelligence. 146. 110242–110242.

Wang, Yalin, et al.. (2025). Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application. IEEE Transactions on Industrial Informatics. 21(8). 6147–6157. 2 indexed citations

Wang, Kai, et al.. (2024). A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion. Applied Soft Computing. 158. 111542–111542. 9 indexed citations

Wang, Kai, et al.. (2024). Worst-case robust optimization based on an adaptive incremental Kriging metamodel. Expert Systems with Applications. 260. 125372–125372. 1 indexed citations

Wang, Kai, et al.. (2024). Spiking autoencoder for nonlinear industrial process fault detection. Information Sciences. 665. 120389–120389. 8 indexed citations

Yuan, Xiaofeng, Jiale Zhang, Kai Wang, et al.. (2024). Missing Data Imputation for Industrial Time Series With Adaptive Median Iteration Based on Generative Adversarial Networks. IEEE Sensors Journal. 24(21). 35081–35091. 12 indexed citations

Yuan, Xiaofeng, Lingjian Ye, Yalin Wang, et al.. (2024). Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. IEEE Transactions on Cybernetics. 54(5). 2696–2707. 60 indexed citations breakdown →

Wang, Yalin, et al.. (2023). Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes. Expert Systems with Applications. 245. 123078–123078. 8 indexed citations

Wang, Kai, et al.. (2023). Cross-Modal Images Matching Based Enhancement to MEMS INS for UAV Navigation in GNSS Denied Environments. Applied Sciences. 13(14). 8238–8238. 1 indexed citations

10.

Wang, Kai, et al.. (2023). Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems. IEEE Transactions on Automation Science and Engineering. 21(3). 4808–4816. 7 indexed citations

11.

Yuan, Xiaofeng, Lin Li, Kai Wang, et al.. (2023). Multiscale Dynamic Feature Learning for Quality Prediction Based on Hierarchical Sequential Generative Network. IEEE Sensors Journal. 23(17). 19561–19570. 29 indexed citations

12.

Yuan, Xiaofeng, et al.. (2022). Virtual Sensor Modeling for Nonlinear Dynamic Processes Based on Local Weighted PSFA. IEEE Sensors Journal. 22(21). 20655–20664. 26 indexed citations

13.

Yuan, Xiaofeng, et al.. (2021). Online Adaptive Modeling Framework for Deep Belief Network-Based Quality Prediction in Industrial Processes. Industrial & Engineering Chemistry Research. 60(42). 15208–15218. 17 indexed citations

14.

Wang, Kai, Junghui Chen, Zhihuan Song, Yalin Wang, & Chunhua Yang. (2021). Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7682–7694. 29 indexed citations

15.

Yuan, Xiaofeng, et al.. (2021). Quality Variable Prediction for Nonlinear Dynamic Industrial Processes Based on Temporal Convolutional Networks. IEEE Sensors Journal. 21(18). 20493–20503. 70 indexed citations

16.

Wang, Kai, Xiaofeng Yuan, Junghui Chen, & Yalin Wang. (2020). Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. Neural Networks. 136. 54–62. 32 indexed citations

17.

Wang, Kai, et al.. (2019). Accelerated Kernel Canonical Correlation Analysis with Fault Relevance for Nonlinear Process Fault Isolation. Industrial & Engineering Chemistry Research. 58(39). 18280–18291. 15 indexed citations

18.

Wang, Kai, R. Bhushan Gopaluni, Junghui Chen, & Zhihuan Song. (2018). Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction. IEEE Transactions on Industrial Informatics. 16(12). 7233–7242. 79 indexed citations

19.

Wang, Kai, Junghui Chen, & Zhihuan Song. (2018). Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems With Measured Disturbances. IEEE Transactions on Automation Science and Engineering. 16(3). 1033–1045. 17 indexed citations

20.

Wang, Kai, Junghui Chen, & Zhihuan Song. (2017). Performance Analysis of Dynamic PCA for Closed-Loop Process Monitoring and Its Improvement by Output Oversampling Scheme. IEEE Transactions on Control Systems Technology. 27(1). 378–385. 25 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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